Search results

This investigation endeavors to examine the routes by which environmental–social–governance (ESG) performance influences the competitive landscape for logistics enterprises, with a particular emphasis on the function of digitalization in this complex process. The research underscores the significance of the ESG context in the realm of digitalization, providing valuable insights into its impact on the overall competitiveness of logistics enterprises.

This research gathers information from a total of 90 logistics enterprises that are publicly traded on the Shanghai and Shenzhen A-share stock markets for analysis and model testing. Due to the multiple pathways of influence and the constrained size of the sample, it has been decided that the Piecewise structural–equation–modeling (SEM) approach will be employed.

The research reveals that ESG factors positively impact enterprises' competitiveness (EC). The augmentation of competitiveness is attributed to the moderating role of green technology innovation (GTI) and agency costs between ESG and EC. In the context of digitalization, the level of digitalization of logistics enterprises may create a capital squeeze effect on environmental performance, weakening competitiveness. Conversely, the level of digitalization positively regulates the promoting effect of governance performance on competitiveness.

This research provides a sound theoretical foundation for understanding how ESG contributes to boosting the competitiveness of Chinese logistics enterprises and extends the application of Piecewise SEM in the research field of logistics enterprise competitiveness. Furthermore, it offers a practical pathway for companies to implement ESG practices and foster competitiveness in digital environments.

The purpose of this study is to assess how managerial capability affects artificial intelligence (AI) adoption and employee well-being now in a dynamic context of organizational change. This study investigated the role that managerial capability and organizational support play in facilitating successful AI technology implementation within organizations. The study seeks to provide an integrated perspective on how organizations can help mitigate the effects of AI anxiety and improve the well-being of employees.

A survey questionnaire was administered to collect data from 324 employees and managers working in small- and medium-sized enterprises (SMEs) located in Pakistan. Partial least squares-structural equation modeling (PLS-SEM) was employed using Smart PLS version 4.1.0.3 to analyze the relationships between the study variables.

The findings of the study show that AI anxiety can significantly impact employee well-being. However, the relationship was moderated by organizational support. When organizational support was high, the effects of AI anxiety decline on employee well-being.

This study offers three important implications; it adds to our understanding regarding AI adoption and its effect on employee well-being by addressing how managerial interventions may facilitate the smooth integration of AI technology and examining the moderating effect that organizational support might have over the association between anxiety and employee well-being. Additionally, we have offered a nuanced view of the potential impact of AI adoption on employees and offered practical recommendations for organizations to undertake to address AI anxiety and promote employee well-being during AI implementation.

This paper aims to examine how presence (the social presence of live streaming platforms, of viewers, of live streamers and telepresence) affects consumer trust and flow state, thus inducing impulsive buying behaviors, personal sense of power as moderator.

Drawing on the Stimulus-Organism-Response (S-O-R) framework, the conceptual model covers social presence, telepresence, consumer trust, flow state, personal sense of power and impulsive buying behavior. An online survey was conducted from 405 consumers with the experience of live streaming shopping in China; structural equation modeling (SEM) was used for data analysis.

Results find that three dimensions of social presence (the social presence of live streaming platforms, of viewers, of live streamers) and telepresence have a positive and significant influence on consumer trust and flow state, thus triggering consumers’ impulsive buying behavior. Furthermore, consumers’ sense of power moderates the process from consumer trust, flow state to impulsive buying behavior.

This study will help live streamers and e-retailers to have a further understand on how to stimulate consumers’ buying behavior. Furthermore, it also provides reference for the development of live streaming commerce in other countries.

This research examines the effect of social presence and telepresence on impulsive buying behavior in live streaming commerce, which is inadequately examined in extant literature.

Studying mobile learning – the use of electronic devices (i.e. cellphone and tablets) to engage in learning across multiple contexts via connection to peers, media, experts and the larger world is a relatively new academic enterprise. This study analyzes the influencing factors of mobile learning (M-learning) motivation based on the time continuum model of motivation (TCMM).

The study uses structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA) to verify relationships between mobile learning motivation, attitude, need, stimulation, emotion, ability and reinforcement. Justification for the use of both methods lies in the complementarity relationships that existed between the variables and research methodologies. The sample contains 560 mobile learners' feedback.

Results show that attitude, need, emotion, ability and reinforcement are important factors to enhance mobile learning motivation, while stimulation is not.

This work highlights the importance of training for app designers on how to design an M-learning App with high learning motivation by paying prior attention to learning content, teaching team and online learning communities.

This study proposes three precise solutions (scholars, managers and practitioners) to improve learning motivation based on the categorization of mobile learners.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2021-0226.

This study aims to identify an antecedent that hinders knowledge sharing, namely, the perceived climate of Cha-xu. Based on the social exchange perspective, the authors propose a theoretical model that links the perceived climate of Cha-xu to employee knowledge sharing. This model focuses on the mediating role of two types of trust (vertical and horizontal trust) and the moderating role of task interdependence in influencing the mediation.

Using a sample of 509 Chinese employees, this study carried out a survey on an online platform. This study developed a structural equation model and tested the moderated mediation hypothesis by using Mplus 8.0.

The results showed that two types of trust act as mediators in the relationship between the perceived climate of Cha-xu and knowledge-sharing processes. The mediating effect of horizontal trust is stronger. Most significantly, findings show that this mediated relationship is contingent on the level of task interdependence.

This paper provides evidence for distinguishing vertical trust and horizontal trust in the field of knowledge management. From a managerial perspective, this study identifies traditional cultural factors for hindering knowledge-sharing processes within Chinese organizations.

In the context of China’s efforts to build world-class enterprises through mixed-ownership reform, this study aims to build an agency theory framework to analyze the differential relation between ownership structure and firm performance in majority versus minority state-owned enterprises (SOEs). It also evaluates the differential influence that political connectedness has on firm performance in the two types of SOEs.

Using a panel data set of Chinese state-controlled mixed-ownership enterprises covering the period 2010–2019, this paper uses ordinary least squares, random-effects, fixed-effects and three stage least squares regression analysis to study the differential impact of ownership structure and political connectedness on firm performance in majority versus minority SOEs.

In minority SOEs, firm performance is positively related to the ownership share of the largest private shareholder and state ownership positively moderates this relation. Furthermore, minority SOEs with a politically connected chairman perform worse than those with a politically connected chairman. In majority SOEs, there is no relation between the ownership share of the largest private shareholder and firm performance. In addition, majority SOEs with a politically connected chairman perform similar to those without a politically connected chairman.

The theoretical framework demonstrates that agency problems are substantially different in minority versus majority SOEs and that this influences how changes in ownership structure and in the type of chairman that is assigned affect firm performance. The empirical analysis confirms these predictions.

The purpose of this paper is to investigate the impact of land approval decentralization on energy efficiency and then analyze the mechanisms that land decentralization improves energy efficiency.

This paper has been based on the dynamic slack based measure (DSBM) method to measure energy efficiency using input-output data at the city level in China. In the empirical analysis, this paper employed difference in differences (DID), instrumental variable (IV), propensity score matching–difference in differences (PSM–DID) and triple differences (DDD) to examine the research hypotheses.

Firstly, this paper finds unexpected good news and shows that decentralizing land approvals significantly improves regional energy efficiency. Secondly, this paper explores two mechanisms for this effect, one is the mitigation of land misallocation and the other one is the cleaner allocation of land resources across industries. Thirdly, this paper provides micro-evidence from Chinese listed firms and finds that the decentralization of land approvals similarly improve firms’ energy efficiency.

Existing studies have mainly explored the environmental impacts of land marketization reforms, with limited attention to decentralization of land approval. As a result, the promotion effect of decentralization of land approval on energy efficiency is still unclear, and the mechanism need to be further refined. Based on empirical analysis, this paper not only helps to clarify the relationship between land decentralization reform and energy efficiency, but also explores the mechanisms of transmission.

Value cocreation has become an important way to enhance the brand equity of a tourism destination. Different from common tourism contexts, agritourism has strong participatory and productive characteristics and is regarded as a critical platform of value cocreation. Therefore, this paper aims to explore the relationship between agritourism experience value cocreation and brand equity of rural tourism destinations from the perspective of tourists.

A questionnaire survey was conducted, and 602 valid questionnaires were collected by a random sample in 2021. Structural equation modeling was used to empirically analyze the data.

The results revealed that tourists’ participation, interaction and citizenship behaviors play a critical role in brand equity of rural tourism destinations. Meanwhile, tourists’ interaction and citizenship behaviors influenced brand equity of rural tourism destinations, via hedonic enjoyment and eudaimonia experience, and perceived experience value. Tourists’ participation behavior influenced brand equity of rural tourism destinations via hedonic enjoyment experience and perceived experience value.

This study focusing on agritourism as a critical platform of value cocreation explores the impact of agritourism experience value cocreation on brand equity of rural tourism destinations from the perspective of tourists. It enriches the existing literature on the relationship between value cocreation and brand equity of tourism destination, expands the research on value cocreation and happiness experience and also provides management basis for promoting brand equity of rural tourism destinations.

价值共创已成为提升旅游目的地品牌资产的重要途径。与一般的旅游情境不同, 农业旅游具有强烈的参与性和生产性特征, 被视为价值共创的重要平台。因此, 本文基于游 客视角探讨了农业旅游体验价值共创与乡村旅游目的地品牌资产之间的内在关系。

本文于2021 年实施问卷调查, 随机抽取602 份有效问卷。结构方程模 型用于实证分析数据。

游客参与、互动和公民行为对乡村旅游目的地品牌资产具有关键作用。同时, 游客互动和公民行为通过享乐型和实现型体验以及感知体验价值影响乡村旅游目的地品牌 资产。游客参与行为通过享乐型体验和感知体验价值影响乡村旅游目的地品牌资产。

本研究将农业旅游作为价值共创的重要平台, 基于游客视角探讨了农业旅游 体验价值共创对乡村旅游目的地品牌资产的影响, 丰富了价值共创与旅游目的地品牌资产 关系的文献, 拓展了价值共创与快乐体验的研究, 为促进乡村旅游目的地品牌资产提供了 管理依据。

La cocreación se ha convertido en una forma importante de mejorar el valor de marca de un destino turístico. A diferencia de los entornos turísticos comunes, el agroturismo tiene fuertes características participativas y productivas, y se considera una plataforma indispensable de cocreación de valor. Este artículo explora la relación entre la cocreación de valor de la experiencia de agroturismo y el valor de marca de los destinos de turismo rural desde la perspectiva de los turistas.

Se realizó una encuesta y se recogieron 602 cuestionarios válidos mediante un muestreo aleatorioa en 2021. Se utilizó un modelo de ecuaciones estructurales para analizar empíricamente los datos.

Los resultados revelaron que la participación e interacción de los turistas y los comportamientos de la ciudadanía juegan un papel crítico en el valor de marca de destinos de turismo rural. La interacción de los turistas y los comportamientos de la ciudadanía impactaron el valor de marca de destinos de turismo rural a través del disfrute hedónico, la experiencia eudaimonia y el valor percibido de la experiencia. El comportamiento de participación de los turistas influyó en el valor de marca de los destinos de turismo rural a través de la experiencia hedónica de disfrute y el valor percibido de la experiencia.

Este estudio, centrado en el agroturismo como plataforma importante para la cocreación de valor, explora el impacto de la cocreación de valor de la experiencia de agroturismo en el valor de marca de destinos de turismo rural desde la perspectiva de los turistas. Enriquece la literatura existente sobre la relación entre la cocreación de valor y el valor de marca de los destinos turisticos, expande la investigación sobre la cocreación de valor y la experiencia de felicidad, y ofrece también bases de gestión para promover el valor de marca de destinos de turismo rural.

As the core technology of blockchain, various consensus mechanisms have emerged to satisfy the demands of different application scenarios. Since determining the security, scalability and other related performance of the blockchain, how to reach consensus efficiently of consensus mechanism is a critical issue in the blockchain.

The paper opted for a research overview on the blockchain consensus mechanism, including the consensus mechanisms' consensus progress, classification and comparison, which are complemented by documentary analysis.

This survey analyzes solutions for the improvement of consensus mechanisms in blockchain that have been proposed during the last few years and suggests future research directions around consensus mechanisms. First, the authors outline the consensus processes, the advantages and disadvantages of the mainstream consensus mechanisms. Additionally, the consensus mechanisms are subdivided into four types according to their characteristics. Then, the consensus mechanisms are compared and analyzed based on four evaluation criteria. Finally, the authors summarize the representative progress of consensus mechanisms and provide some suggestions on the design of consensus mechanisms to make further advances in this field.

This paper summarizes the future research development of the consensus mechanisms.

This study reduces carbon emission in logistics distribution to realize the low-carbon site optimization for a cold chain logistics distribution center problem.

This study involves cooling, commodity damage and carbon emissions and establishes the site selection model of low-carbon cold chain logistics distribution center aiming at minimizing total cost, and grey wolf optimization algorithm is used to improve the artificial fish swarm algorithm to solve a cold chain logistics distribution center problem.

The optimization results and stability of the improved algorithm are significantly improved and compared with other intelligent algorithms. The result is confirmed to use the Beijing-Tianjin-Hebei region site selection. This study reduces composite cost of cold chain logistics and reduces damage to environment to provide a new idea for developing cold chain logistics.

This study contributes to propose an optimization model of low-carbon cold chain logistics site by considering various factors affecting cold chain products and converting carbon emissions into costs. Prior studies are lacking to take carbon emissions into account in the logistics process. The main trend of current economic development is low-carbon and the logistics distribution is an energy consumption and high carbon emissions.